Infrastructure changes are manual and risky
Environments drift, releases depend on individuals, and recovery procedures are undocumented or untested.
Cloud architecture, migration, platform engineering, CI/CD, Kubernetes, security, and reliability
Cloud and delivery platforms engineered for repeatable releases, resilient operation, security, visibility, and controlled cost.
Capability / 01
Rokad designs, builds, migrates, and operates cloud platforms across infrastructure, networking, identity, deployment, containers, Kubernetes, observability, security, backup, recovery, and developer enablement. The objective is not infrastructure for its own sake, but a dependable operating system for software and teams.
Cloud strategy, landing zones, architecture, and migration
Platform engineering and developer self-service
CI/CD, release automation, environments, and infrastructure as code
Containers, Kubernetes, service networking, and workload operations
DevSecOps, identity, secrets, policy, vulnerability, and supply-chain controls
Reliability, observability, incident response, backup, recovery, and cost optimisation
When to engage / 02
Environments drift, releases depend on individuals, and recovery procedures are undocumented or untested.
Teams add services and capacity without clear ownership, measurement, architecture standards, or financial controls.
Provisioning, access, deployments, diagnostics, and production changes require repeated manual coordination.
Service scope / 03
Review architecture, workloads, delivery, security, reliability, cost, skills, and operational constraints before defining the target state.
Build cloud foundations, networks, identity, infrastructure code, pipelines, observability, policy, backup, and service interfaces.
Move workloads safely, validate service objectives, establish runbooks and ownership, and continuously improve the platform.
Specialisations / 04
Assessment, landing zones, migration waves, data movement, cutover, validation, and operational transition.
Internal platforms, golden paths, self-service, templates, developer experience, and platform product operations.
Automated build, test, security, deployment, promotion, approval, rollback, and release evidence.
Cluster architecture, workload migration, networking, policy, observability, upgrades, and managed operation.
Security integrated into source, build, artefact, deployment, infrastructure, identity, and runtime workflows.
Service objectives, observability, incident response, capacity, resilience, recovery, and reliability improvement.
Rokad designs, builds, migrates, secures, and operates production cloud platforms across AWS, Microsoft Azure, Google Cloud, and Cloudflare.
Use cases / 02
Engagements are structured around measurable technical, operational, product, or commercial outcomes.
Move applications and data through assessed waves with landing zones, controls, rehearsals, and rollback planning.
Standardise environments, services, deployments, observability, access, and golden paths through self-service interfaces.
Replace manual deployments and inconsistent environments with automation, testing, telemetry, and controlled change.
Connect service objectives, capacity, incidents, architecture, utilisation, commitments, and ownership to cost outcomes.
Engineering standards / 05
Identity, permissions, secrets, networks, data boundaries, dependencies, change controls, and recovery are addressed throughout delivery.
Metrics, logs, traces, data quality, costs, failures, capacity, and service outcomes are made visible and actionable.
Infrastructure, pipelines, configuration, tests, deployment, and recovery procedures are versioned and repeatable wherever practical.
Delivery / 03
Begin with one phase or cover the complete lifecycle under one accountable team.
Clarify objectives, users, systems, data, constraints, dependencies, risk, and measurable acceptance criteria.
Define the target system, operating model, security controls, migration sequence, and ownership before implementation.
Implement in controlled increments with testing, review, documentation, observability, and stakeholder validation.
Establish production ownership, service controls, measurement, support, and a continuous improvement backlog.
Typical deliverables
Engagement models / 06
A bounded current-state review, target architecture, prioritised risks, and executable transformation plan.
A defined platform, migration, pipeline, or reliability outcome with explicit milestones and acceptance criteria.
Specialists working with internal engineering, data, security, and operations teams over an evolving roadmap.
Ongoing ownership of production infrastructure, data platforms, reliability, security, cost, and improvement.
Related services / 07
Operate infrastructure, releases, reliability, security, and continuous improvement after implementation.
Build or modernise the applications and services running on the platform.
Build governed data pipelines, platforms, warehouses, and analytical operations on cloud foundations.
FAQ
Scope, ownership, assumptions, and delivery are clarified before work begins.
Yes. We can design single-cloud, multi-cloud, hybrid, and provider-neutral operating patterns where the business, regulatory, availability, or commercial requirements justify the complexity.
Yes, wherever practical. Infrastructure, policy, configuration, environments, and deployment workflows are versioned, reviewed, tested, and reproducible.
Yes. We begin with access, architecture, inventory, security, cost, deployment, observability, backup, recovery, and ownership assessment before controlled handover.
Yes. Managed services can cover infrastructure, deployments, monitoring, incidents, security, backup, cost, upgrades, capacity, and service reporting.
Contact / 05
Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.